Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/1275| Title: | Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR | Authors: | Kilic, Gokhan Eren, Levent |
Keywords: | GPR TBM NDT Karst conduits Neural network Concrete Sites Radar |
Publisher: | Elsevier Science Bv | Abstract: | This paper reports on the fundamental role played by Ground Penetrating Radar (GPR), alongside advanced processing and presentation methods, during the tunnel boring project at a Dam and Hydro -Electric Power Station. It identifies from collected GPR data such issues as incomplete grouting and the presence of karst conduits and voids and provides full details of the procedures adopted. In particular, the application of collected GPR data to the Neural Network (NN) method is discussed. (C) 2018 Elsevier B.V. All rights reserved. | URI: | https://doi.org/10.1016/j.jappgeo.2018.02.026 https://hdl.handle.net/20.500.14365/1275 |
ISSN: | 0926-9851 1879-1859 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 304.pdf Restricted Access | 6.02 MB | Adobe PDF | View/Open Request a copy |
CORE Recommender
SCOPUSTM
Citations
43
checked on Sep 25, 2024
WEB OF SCIENCETM
Citations
36
checked on Sep 25, 2024
Page view(s)
68
checked on Sep 30, 2024
Download(s)
6
checked on Sep 30, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.